The Combustion of Methane from Hard Coal Seams in Gas Engines as a Technology Leading to Reducing Greenhouse Gas Emissions—Electricity Prediction Using ANN
Greenhouse gases such as carbon dioxide and methane cause global warming and consequently climate change. Great efforts are being made to reduce greenhouse gas emissions with the objective of addressing this problem, hence the popularity of technologies conductive to reducing greenhouse gas emission...
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-08-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/13/17/4429 |
| _version_ | 1797555370838720512 |
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| author | Marek Borowski Piotr Życzkowski Jianwei Cheng Rafał Łuczak Klaudia Zwolińska |
| author_facet | Marek Borowski Piotr Życzkowski Jianwei Cheng Rafał Łuczak Klaudia Zwolińska |
| author_sort | Marek Borowski |
| collection | DOAJ |
| description | Greenhouse gases such as carbon dioxide and methane cause global warming and consequently climate change. Great efforts are being made to reduce greenhouse gas emissions with the objective of addressing this problem, hence the popularity of technologies conductive to reducing greenhouse gas emissions. CO<sub>2</sub> emissions can be reduced by improving the thermal efficiency of combustion engines, for example, by using cogeneration systems. Coal mine methane (CMM) emerges due to mining activities as methane released from the coal and surrounding rock strata. The amount of methane produced is primarily influenced by the productivity of the coal mine and the gassiness of the coal seam. The gassiness of the formation around the coal seam and geological conditions are also important. Methane can be extracted to the surface using methane drainage installations and along with ventilation air. The large amounts of methane captured by methane drainage installations can be used for energy production. This article presents a quarterly summary of the hourly values of methane capture, its concentration in the methane–air mixture, and electricity production in the cogeneration system for electricity and heat production. On this basis, neural network models have been proposed in order to predict electricity production based on known values of methane capture, its concentration, pressure, and parameters determining the time and day of the week. A prediction model has been established on the basis of a multilayer perceptron network (MLP). |
| first_indexed | 2024-03-10T16:46:30Z |
| format | Article |
| id | doaj.art-0c9d44e7fc0347fd81c79ecc028d2cd0 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-10T16:46:30Z |
| publishDate | 2020-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-0c9d44e7fc0347fd81c79ecc028d2cd02023-11-20T11:34:18ZengMDPI AGEnergies1996-10732020-08-011317442910.3390/en13174429The Combustion of Methane from Hard Coal Seams in Gas Engines as a Technology Leading to Reducing Greenhouse Gas Emissions—Electricity Prediction Using ANNMarek Borowski0Piotr Życzkowski1Jianwei Cheng2Rafał Łuczak3Klaudia Zwolińska4Faculty of Mining and Geoengineering, AGH University of Science and Technology, 30-059 Krakow, PolandFaculty of Mining and Geoengineering, AGH University of Science and Technology, 30-059 Krakow, PolandKey Laboratory of Gas and Fire Control for Coal Mines, China University of Mining and Technology, Xuzhou 221116, ChinaFaculty of Mining and Geoengineering, AGH University of Science and Technology, 30-059 Krakow, PolandFaculty of Mining and Geoengineering, AGH University of Science and Technology, 30-059 Krakow, PolandGreenhouse gases such as carbon dioxide and methane cause global warming and consequently climate change. Great efforts are being made to reduce greenhouse gas emissions with the objective of addressing this problem, hence the popularity of technologies conductive to reducing greenhouse gas emissions. CO<sub>2</sub> emissions can be reduced by improving the thermal efficiency of combustion engines, for example, by using cogeneration systems. Coal mine methane (CMM) emerges due to mining activities as methane released from the coal and surrounding rock strata. The amount of methane produced is primarily influenced by the productivity of the coal mine and the gassiness of the coal seam. The gassiness of the formation around the coal seam and geological conditions are also important. Methane can be extracted to the surface using methane drainage installations and along with ventilation air. The large amounts of methane captured by methane drainage installations can be used for energy production. This article presents a quarterly summary of the hourly values of methane capture, its concentration in the methane–air mixture, and electricity production in the cogeneration system for electricity and heat production. On this basis, neural network models have been proposed in order to predict electricity production based on known values of methane capture, its concentration, pressure, and parameters determining the time and day of the week. A prediction model has been established on the basis of a multilayer perceptron network (MLP).https://www.mdpi.com/1996-1073/13/17/4429methane capture and utilisationcogenerationcoal mine methane (CMM)greenhouse gas reductionproduction forecastelectrical energy |
| spellingShingle | Marek Borowski Piotr Życzkowski Jianwei Cheng Rafał Łuczak Klaudia Zwolińska The Combustion of Methane from Hard Coal Seams in Gas Engines as a Technology Leading to Reducing Greenhouse Gas Emissions—Electricity Prediction Using ANN Energies methane capture and utilisation cogeneration coal mine methane (CMM) greenhouse gas reduction production forecast electrical energy |
| title | The Combustion of Methane from Hard Coal Seams in Gas Engines as a Technology Leading to Reducing Greenhouse Gas Emissions—Electricity Prediction Using ANN |
| title_full | The Combustion of Methane from Hard Coal Seams in Gas Engines as a Technology Leading to Reducing Greenhouse Gas Emissions—Electricity Prediction Using ANN |
| title_fullStr | The Combustion of Methane from Hard Coal Seams in Gas Engines as a Technology Leading to Reducing Greenhouse Gas Emissions—Electricity Prediction Using ANN |
| title_full_unstemmed | The Combustion of Methane from Hard Coal Seams in Gas Engines as a Technology Leading to Reducing Greenhouse Gas Emissions—Electricity Prediction Using ANN |
| title_short | The Combustion of Methane from Hard Coal Seams in Gas Engines as a Technology Leading to Reducing Greenhouse Gas Emissions—Electricity Prediction Using ANN |
| title_sort | combustion of methane from hard coal seams in gas engines as a technology leading to reducing greenhouse gas emissions electricity prediction using ann |
| topic | methane capture and utilisation cogeneration coal mine methane (CMM) greenhouse gas reduction production forecast electrical energy |
| url | https://www.mdpi.com/1996-1073/13/17/4429 |
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